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Field
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Are you fascinated by quantum computers and eager to help make that potential a reality? Do you enjoy research and want to join a world-class European consortium shaping the future of quantum
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ICFO is offering one PhD position to a well-qualified graduate student, who wish to obtain a doctoral degree in the SLN - Team Loza group led by Prof. Dr. Pablo Loza-Alvarez Our PhD-program brings
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computing? Do you enjoy studying complex quantum mechanical systems both from a physical and a mathematical perspective? Are you an innovative and productive team player who enjoys being part of
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Starting Date 1 Nov 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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and biomechanical assessment of abdominal aortic aneurysms. Information As a PhD candidate, you will contribute to the prestigious NWO VICI programme "(R)evolution in Abdominal Ultrasound Imaging
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reconfiguration operation. Develop and evaluate fast and efficient scheduling algorithms for fast control and reconfiguration of the optical AI compute clusters. Realize a small-scale compute cluster lab testbed
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algorithm will be tested on the real container-scale prototype. Your tasks within framework in detail: Development of the predictive-based control algorithm for the proposed carbon-neutral computing centre
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11th October 2026 Languages English English English We are looking for a PhD student in Computational Neuroscience at the Kavli Institute for Systems Neuroscience PhD in Computational Neuroscience
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
Researcher (R1) Application Deadline 16 Sep 2026 - 08:01 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU
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systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization